Asymptotic Laws and Methods in Stochastics

A Volume in Honour of Miklós Csörgő

  • Donald Dawson
  • Rafal Kulik
  • Mohamedou Ould Haye
  • Barbara Szyszkowicz
  • Yiqiang Zhao

Part of the Fields Institute Communications book series (FIC, volume 76)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Limit Theorems for Self-normalized Processes

  3. Planar Processes

    1. Front Matter
      Pages 53-53
    2. Endre Csáki, Antónia Földes, Pál Révész
      Pages 55-75
  4. Central Limit Theorems and Laws of Large Numbers

  5. Change-Point Problems

    1. Front Matter
      Pages 177-177
    2. Alina Bazarova, István Berkes, Lajos Horváth
      Pages 179-193
    3. Herold Dehling, Roland Fried, Isabel Garcia, Martin Wendler
      Pages 195-220
  6. Short and Long Range Dependent Time Series

    1. Front Matter
      Pages 237-237

About this book

Introduction

This book contains articles arising from a conference in honour of mathematician-statistician Miklόs Csörgő on the occasion of his 80th birthday, held in Ottawa in July 2012. It comprises research papers and overview articles, which provide a substantial glimpse of the history and state-of-the-art of the field of asymptotic methods in probability and statistics, written by leading experts.

The volume consists of twenty articles on topics on limit theorems for self-normalized processes, planar processes, the central limit theorem and laws of large numbers, change-point problems, short and long range dependent time series, applied probability and stochastic processes, and the theory and methods of statistics. It also includes Csörgő’s list of publications during more than 50 years, since 1962.

Keywords

applied probability central limit theorem change-point problems functional limit theorems laws of large numbers planar processes

Editors and affiliations

  • Donald Dawson
    • 1
  • Rafal Kulik
    • 2
  • Mohamedou Ould Haye
    • 3
  • Barbara Szyszkowicz
    • 4
  • Yiqiang Zhao
    • 5
  1. 1.School of Mathematics & StatisticsHerzberg LaboratoriesOttawaCanada
  2. 2.Department of Mathematics and StatisticsUniversity of OttawaOttawaCanada
  3. 3.School of Mathematics & StatisticsCarleton UniversityOttawaCanada
  4. 4.School of Mathematics & StatisticsCarleton UniversityOttawaCanada
  5. 5.School of Mathematics & StatisticsCarleton UniversityOttawaCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-3076-0
  • Copyright Information Springer Science+Business Media New York 2015
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4939-3075-3
  • Online ISBN 978-1-4939-3076-0
  • Series Print ISSN 1069-5265
  • Series Online ISSN 2194-1564
  • About this book
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